TY - GEN
T1 - Physically Consistent Models for Intelligent Reflective Surface-Assisted Communications under Mutual Coupling and Element Size Constraint
AU - Akrout, Mohamed
AU - Bellili, Faouzi
AU - Mezghani, Amine
AU - Nossek, Josef A.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - We investigate the benefits of mutual coupling effects between the passive elements of intelligent reconfigurable surfaces (IRSs) on maximizing the achievable rate of downlink Internet-of-Things (IoT) networks. In this paper, we present an electromagnetic (EM) coupling model for IRSs whose elements are connected minimum scattering antennas (i.e., dipoles). Using Chu's theory, we incorporate the finite antenna size constraint on each element of the IRS to obtain the IRS mutual impedance matrix. By maximizing the IRS phase shifters using the gradient ascent procedure, our numerical results show that mutual coupling is indeed crucial to avoid the achievable rate degradation when the spacing between IRS elements is down to a fraction of the wavelength.
AB - We investigate the benefits of mutual coupling effects between the passive elements of intelligent reconfigurable surfaces (IRSs) on maximizing the achievable rate of downlink Internet-of-Things (IoT) networks. In this paper, we present an electromagnetic (EM) coupling model for IRSs whose elements are connected minimum scattering antennas (i.e., dipoles). Using Chu's theory, we incorporate the finite antenna size constraint on each element of the IRS to obtain the IRS mutual impedance matrix. By maximizing the IRS phase shifters using the gradient ascent procedure, our numerical results show that mutual coupling is indeed crucial to avoid the achievable rate degradation when the spacing between IRS elements is down to a fraction of the wavelength.
KW - Chu's limit
KW - Circuit theory for communications
KW - canonical minimum scattering antennas
KW - intelligent reconfigurable surfaces
KW - mutual coupling
UR - http://www.scopus.com/inward/record.url?scp=85190360192&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF59524.2023.10476858
DO - 10.1109/IEEECONF59524.2023.10476858
M3 - Conference contribution
AN - SCOPUS:85190360192
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1589
EP - 1594
BT - Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
Y2 - 29 October 2023 through 1 November 2023
ER -